[newrt] Rename namespace `kernels` to `kernel` (#1964)
author이한종/동작제어Lab(SR)/Engineer/삼성전자 <hanjoung.lee@samsung.com>
Tue, 17 Jul 2018 01:59:37 +0000 (10:59 +0900)
committer이춘석/동작제어Lab(SR)/Staff Engineer/삼성전자 <chunseok.lee@samsung.com>
Tue, 17 Jul 2018 01:59:37 +0000 (10:59 +0900)
Rename `kernels` to `kernel` since our general convention is to use
singular.

Signed-off-by: Hanjoung Lee <hanjoung.lee@samsung.com>
17 files changed:
runtimes/new_runtime/src/internal/cpu/StageGenerator.cc
runtimes/new_runtime/src/internal/kernel/cpufallback/AvgPoolLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/AvgPoolLayer.cc with 97% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/AvgPoolLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/AvgPoolLayer.h with 90% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/ConcatLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/ConcatLayer.cc with 96% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/ConcatLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/ConcatLayer.h with 92% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/ConvolutionLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/ConvolutionLayer.cc with 98% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/ConvolutionLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/ConvolutionLayer.h with 91% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/FullyConnectedLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/FullyConnectedLayer.cc with 98% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/FullyConnectedLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/FullyConnectedLayer.h with 89% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/MaxPoolLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/MaxPoolLayer.cc with 97% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/MaxPoolLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/MaxPoolLayer.h with 90% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/OperationUtils.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/OperationUtils.cc with 98% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/OperationUtils.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/OperationUtils.h with 98% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/ReshapeLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/ReshapeLayer.cc with 94% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/ReshapeLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/ReshapeLayer.h with 84% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/SoftMaxLayer.cc [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/SoftMaxLayer.cc with 96% similarity]
runtimes/new_runtime/src/internal/kernel/cpufallback/SoftMaxLayer.h [moved from runtimes/new_runtime/src/internal/kernels/cpufallback/SoftMaxLayer.h with 86% similarity]

index f18f9ef..7580087 100644 (file)
@@ -3,13 +3,13 @@
 #include <stdexcept>
 
 #include "internal/Padding.h"
-#include "internal/kernels/cpufallback/ConvolutionLayer.h"
-#include "internal/kernels/cpufallback/AvgPoolLayer.h"
-#include "internal/kernels/cpufallback/MaxPoolLayer.h"
-#include "internal/kernels/cpufallback/ConcatLayer.h"
-#include "internal/kernels/cpufallback/FullyConnectedLayer.h"
-#include "internal/kernels/cpufallback/ReshapeLayer.h"
-#include "internal/kernels/cpufallback/SoftMaxLayer.h"
+#include "internal/kernel/cpufallback/ConvolutionLayer.h"
+#include "internal/kernel/cpufallback/AvgPoolLayer.h"
+#include "internal/kernel/cpufallback/MaxPoolLayer.h"
+#include "internal/kernel/cpufallback/ConcatLayer.h"
+#include "internal/kernel/cpufallback/FullyConnectedLayer.h"
+#include "internal/kernel/cpufallback/ReshapeLayer.h"
+#include "internal/kernel/cpufallback/SoftMaxLayer.h"
 
 #include "logging.h"
 
@@ -102,8 +102,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::Conv2D::implicit::N
     auto ker_alloc = tensors->at(::internal::tflite::operand::Index{param.ker_index});
     auto bias_alloc = tensors->at(::internal::tflite::operand::Index{param.bias_index});
 
-    std::unique_ptr<::internal::kernels::cpu::ConvolutionLayer> fn{
-        new ::internal::kernels::cpu::ConvolutionLayer};
+    std::unique_ptr<::internal::kernel::cpu::ConvolutionLayer> fn{
+        new ::internal::kernel::cpu::ConvolutionLayer};
 
     fn->configure(ifm_alloc->buffer(), param.ifm_shape, ker_alloc->buffer(), param.ker_shape,
                   bias_alloc->buffer(), param.bias_shape, param.padding.left, param.padding.right,
@@ -197,8 +197,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::MaxPool2D::implicit
     auto ofm_alloc = tensors->at(::internal::tflite::operand::Index{param.ofm_index}).get();
     auto ifm_alloc = tensors->at(::internal::tflite::operand::Index{param.ifm_index}).get();
 
-    std::unique_ptr<::internal::kernels::cpu::MaxPoolLayer> fn{
-        new ::internal::kernels::cpu::MaxPoolLayer};
+    std::unique_ptr<::internal::kernel::cpu::MaxPoolLayer> fn{
+        new ::internal::kernel::cpu::MaxPoolLayer};
 
     fn->configure(ifm_alloc->buffer(), param.ifm_shape, param.padding.left, param.padding.right,
                   param.padding.top, param.padding.bottom, param.stride.horizontal,
@@ -296,8 +296,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::AvgPool2D::implicit
     auto ofm_alloc = tensors->at(::internal::tflite::operand::Index{param.ofm_index}).get();
     auto ifm_alloc = tensors->at(::internal::tflite::operand::Index{param.ifm_index}).get();
 
-    std::unique_ptr<::internal::kernels::cpu::AvgPoolLayer> fn{
-        new ::internal::kernels::cpu::AvgPoolLayer};
+    std::unique_ptr<::internal::kernel::cpu::AvgPoolLayer> fn{
+        new ::internal::kernel::cpu::AvgPoolLayer};
 
     fn->configure(ifm_alloc->buffer(), param.ifm_shape, param.padding.left, param.padding.right,
                   param.padding.top, param.padding.bottom, param.stride.horizontal,
@@ -352,8 +352,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::Concat::Node &node)
           tensors->at(::internal::tflite::operand::Index{ifm_ind}).get()->buffer());
     }
 
-    std::unique_ptr<::internal::kernels::cpu::ConcatLayer> fn{
-        new ::internal::kernels::cpu::ConcatLayer};
+    std::unique_ptr<::internal::kernel::cpu::ConcatLayer> fn{
+        new ::internal::kernel::cpu::ConcatLayer};
 
     fn->configure(input_buffers, param.ifm_shapes, param.axis, output_alloc->buffer(),
                   param.ofm_shape);
@@ -410,8 +410,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::FullyConnected::Nod
     auto weight_alloc = tensors->at(::internal::tflite::operand::Index{param.weight_index}).get();
     auto bias_alloc = tensors->at(::internal::tflite::operand::Index{param.bias_index}).get();
 
-    std::unique_ptr<::internal::kernels::cpu::FullyConnectedLayer> fn{
-        new ::internal::kernels::cpu::FullyConnectedLayer};
+    std::unique_ptr<::internal::kernel::cpu::FullyConnectedLayer> fn{
+        new ::internal::kernel::cpu::FullyConnectedLayer};
 
     fn->configure(input_alloc->buffer(), param.ifm_shape, weight_alloc->buffer(),
                   param.weight_shape, bias_alloc->buffer(), param.bias_shape, param.activation,
@@ -449,8 +449,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::Reshape::Node &node
     auto output_alloc = tensors->at(::internal::tflite::operand::Index{param.output_index}).get();
     auto input_alloc = tensors->at(::internal::tflite::operand::Index{param.input_index}).get();
 
-    std::unique_ptr<::internal::kernels::cpu::ReshapeLayer> fn{
-        new ::internal::kernels::cpu::ReshapeLayer};
+    std::unique_ptr<::internal::kernel::cpu::ReshapeLayer> fn{
+        new ::internal::kernel::cpu::ReshapeLayer};
 
     fn->configure(input_alloc->buffer(), param.ifm_shape, output_alloc->buffer(), param.ofm_shape);
 
@@ -493,8 +493,8 @@ Stage StageGenerator::generate(const ::internal::tflite::op::Softmax::Node &node
     auto output_alloc = tensors->at(::internal::tflite::operand::Index{param.output_index}).get();
     auto input_alloc = tensors->at(::internal::tflite::operand::Index{param.input_index}).get();
 
-    std::unique_ptr<::internal::kernels::cpu::SoftMaxLayer> fn{
-        new ::internal::kernels::cpu::SoftMaxLayer};
+    std::unique_ptr<::internal::kernel::cpu::SoftMaxLayer> fn{
+        new ::internal::kernel::cpu::SoftMaxLayer};
 
     fn->configure(input_alloc->buffer(), param.ifm_shape, param.scale, output_alloc->buffer(),
                   param.ofm_shape);
 #include "AvgPoolLayer.h"
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -105,5 +105,5 @@ void AvgPoolLayer::run()
 #undef AVGPOOLING_PARAMETERS
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -6,13 +6,13 @@
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -59,7 +59,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_AVGPOOLLAYER_H__
 #include "ConcatLayer.h"
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -98,5 +98,5 @@ void ConcatLayer::run()
 }
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -63,7 +63,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_CONCATLAYER_H__
@@ -1,11 +1,11 @@
 #include "ConvolutionLayer.h"
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -174,5 +174,5 @@ void ConvolutionLayer::run()
 #undef ANDROID_NN_CONV_PARAMETERS
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -6,13 +6,13 @@
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -60,7 +60,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_CONVOLUTIONLAYER_H__
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
 #include "tensorflow/contrib/lite/kernels/internal/reference/reference_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 #include <mutex>
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -127,5 +127,5 @@ void FullyConnectedLayer::run()
 }
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -6,13 +6,13 @@
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -52,7 +52,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_FULLYCONNECTEDLAYER_H__
@@ -1,11 +1,11 @@
 #include "MaxPoolLayer.h"
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -88,5 +88,5 @@ void MaxPoolLayer::run()
 #undef MAXPOOLING_PARAMETERS
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -6,13 +6,13 @@
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -59,7 +59,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_MAXPOOLLAYER_H__
@@ -1,4 +1,4 @@
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 #include <cmath>
 #include <algorithm>
@@ -6,7 +6,7 @@
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -210,5 +210,5 @@ size_t sizeOfData(OperandType type, const std::vector<uint32_t> &dimensions)
 }
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -12,7 +12,7 @@
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -90,7 +90,7 @@ Shape convertShape(const ::internal::tflite::operand::Shape &o);
 uint32_t sizeOfData(OperandType type, const std::vector<uint32_t> &dimensions);
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __NNFW_SUPPORT_NNAPI_OPERATION_UTILS_H__
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
 #include "tensorflow/contrib/lite/kernels/internal/reference/reference_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -48,5 +48,5 @@ void ReshapeLayer::configure(uint8_t *inputData, const internal::tflite::operand
 void ReshapeLayer::run() { reshapeGeneric(); }
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -6,13 +6,13 @@
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -39,7 +39,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_RESHAPELAYER_H__
@@ -1,11 +1,11 @@
 #include "SoftMaxLayer.h"
 
 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -102,5 +102,5 @@ void SoftMaxLayer::run()
 }
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
@@ -6,13 +6,13 @@
 #include <arm_compute/runtime/IFunction.h>
 
 #include "internal/Model.h"
-#include "internal/kernels/cpufallback/OperationUtils.h"
+#include "internal/kernel/cpufallback/OperationUtils.h"
 
-using namespace internal::kernels::cpu;
+using namespace internal::kernel::cpu;
 
 namespace internal
 {
-namespace kernels
+namespace kernel
 {
 namespace cpu
 {
@@ -46,7 +46,7 @@ private:
 };
 
 } // namespace cpu
-} // namespace kernels
+} // namespace kernel
 } // namespace internal
 
 #endif // __INTERNAL_KERNELS_CPU_SOFTMAXLAYER_H__